Collection, Sharing, Visualisation and Analysis of locally gathered information from geographically remote areas vulnerable to tidal waves

从易受潮汐影响的偏远地区收集、共享、可视化和分析本地收集的信息

• 批准号: SR0567373
• 负责人: Prof Saman Halgamuge
• 金额: $ 6.83万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Special Research Initiatives
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-12-31 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/SR0567373
• 关键词: Collection; Sharing; Visualisation; Analysis; locally

This project will set up a virtual organization for tsunami related data analysis using grid technology. Due to geologically remote areas/countries involved the sharing of seismic, tidal and other locally gathered tsunami related information is critical to issuing a warning. In collaboration with Australian and International partners, this project will explore: new avenues of tsunami-related data collection, which are currently not available; new data fusion methods; data sharing strategies; visualisation and analysis methods; and develop sensing methods to gather data on animal behaviours often reported as a possible way of identifying similar disasters.

本计画将利用网格技术建立一个海啸相关资料分析的虚拟组织。由于涉及地质偏远地区/国家，分享地震、潮汐和其他当地收集的海啸相关信息对于发布警报至关重要。该项目将与澳大利亚和国际合作伙伴合作，探索：目前尚不具备的海啸相关数据收集的新途径;新的数据融合方法;数据共享战略;可视化和分析方法;以及开发传感方法，以收集动物行为数据，这些数据通常被报告为识别类似灾害的可能方法。